Huawei Mate 40
Geekbench AI Score
265
Single Precision Score
267
Half Precision Score
644
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | December 22 2025 06:03 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | HiSilicon Kirin 9000E 5G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Huawei Mate 40 |
| Model ID | HUAWEI OCE-AN10 |
| Motherboard | OCE |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 2.04 GHz |
| Cluster 1 | 4 Cores @ 2.04 GHz |
| Cluster 2 | 3 Cores @ 2.54 GHz |
| Cluster 3 | 1 Core @ 3.13 GHz |
| Memory Information | |
|---|---|
| Size | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
163
30.3 IPS |
|
|
Image Classification (HP)
|
100% |
165
30.7 IPS |
|
|
Image Classification (Q)
|
99% |
433
80.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
218
3.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
219
3.56 IPS |
|
|
Image Segmentation (Q)
|
98% |
445
7.23 IPS |
|
|
Pose Estimation (SP)
|
100% |
270
0.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
270
0.31 IPS |
|
|
Pose Estimation (Q)
|
98% |
1093
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
161
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
87% |
474
38.0 IPS |
|
|
Face Detection (SP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (HP)
|
100% |
410
4.87 IPS |
|
|
Face Detection (Q)
|
97% |
917
10.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
338
2.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
835
7.58 IPS |
|
|
Style Transfer (SP)
|
100% |
554
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1681
2.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
165
6.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
167
6.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
638
23.7 IPS |
|
|
Text Classification (SP)
|
100% |
237
316.6 IPS |
|
|
Text Classification (HP)
|
100% |
238
317.6 IPS |
|
|
Text Classification (Q)
|
91% |
425
571.9 IPS |
|
|
Machine Translation (SP)
|
100% |
384
6.62 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
57% |
354
8.64 IPS |
